Recognition to specific two words Chinese vocabulary based on projection matrix of spectrogram

In the process of image feature extraction, the image processing technique is applied to the speech recognition. First, equal width zoning line projection and binary width zoning line projection are carried out to the spectrogram, which are taken as the spectrogram of the first characteristic set and the second characteristic set, respectively. Meanwhile, equal width zoning line projection is carried out again to the spectrogram after Fourier transform, treating as the third feature set. Then, the above three feature sets are used as feature vectors to Support Vector Machine (SVM) as a classifier for the overall recognition of specific two words Chinese vocabulary. 1000 voice samples are used in simulation experiment. The results show that the correct recognition rate of this method is 92.8%, and it provides a new way of thinking of Chinese vocabulary overall recognition.